World Wide Web, blogging platforms, instant messaging and Facebook can be
characterized by the interplay between rich information content, the
millions of individuals and organizations who create and use it, and the
technology that supports it.
The course will cover recent research on
the structure and analysis of such large social and information networks
and on models and algorithms that abstract their basic properties.
Class will explore how to practically analyze large scale network data and how to
reason about it through models for network structure and evolution.
Topics include methods for link analysis and network community detection,
diffusion and information propagation on the web, virus
outbreak detection in networks, and connections with work in the social
sciences and economics.

Announcements:

11/01: Poster session will be on Thursday December 10 3-6pm in Gates atrium. More info.